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Differential misclassification of confounders in comparative evaluation of hospital care quality: caesarean sections in Italy

机译:医院护理质量比较评估中混杂因素的差异性错误分类:意大利的剖腹产

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Background Despite extensive studies on exposure and disease misclassification, few studies have investigated misclassification of confounders. This study aimed to identify differentially misclassified confounders in a comparative evaluation of hospital care quality and to quantify their impact on hospital-specific risk-adjusted estimates, focusing on the appropriateness of caesarean sections (CS). Methods We gathered data from the Hospital Information System in Italy for women admitted in 2005–2010. We estimated adjusted proportions of CS with logistic regression models. Among several confounders, we focused on high fetal head at term (HFH), which is seldom objectively documentable in medical records. Results A total of 540 maternity units were compared. The median HFH prevalence was 0.9%, ranging from 0 to 70%. In some units, HFH was coded so frequently that it was unlikely to reflect a natural heterogeneity. This “over-coding” was conditional on the outcome because it occurred more frequently for women that underwent CS. This suggested an opportunistic coding to justify the choice of a CS. HFH misclassification was not randomly distributed over Italy; it had an excess in the Campania region where, in some units, the proportion of HFHs gradually increased from 2005 to 2010 (e.g., from 0 to 26%), but the national average remained constant (2.5%). The inclusion of the misclassified diagnosis in the models favored those hospitals that codified in a less-than-fair manner. Conclusions Our findings emphasized the importance of rigorously inspecting for differential misclassification of confounders. Their validity may be subject to substantial heterogeneity over hospitals, over time and geographical areas.
机译:背景尽管对暴露和疾病分类错误进行了广泛的研究,但很少有研究调查混杂因素的分类错误。这项研究的目的是在对医院护理质量的比较评估中识别差异分类错误的混杂因素,并量化其对医院特定风险调整后估计的影响,重点是剖腹产(CS)的适用性。方法我们从意大利医院信息系统收集了2005-2010年收治的女性的数据。我们用逻辑回归模型估计了CS的调整比例。在几个混杂因素中,我们关注的是足月胎头过高(HFH),这在医学记录中很少客观记录。结果共比较了540个产妇单位。 HFH的中位患病率为0.9%,范围为0至70%。在某些单位中,HFH编码如此频繁,以至于不太可能反映出自然的异质性。这种“过度编码”取决于结果,因为接受CS的女性更容易发生该结果。这建议了机会编码来证明选择CS是合理的。 HFH分类错误并非在意大利随机分布;它在坎帕尼亚地区过剩,在某些单位,HFHs的比例从2005年到2010年逐渐增加(例如,从0%增加到26%),但全国平均水平保持不变(2.5%)。在模型中包括分类错误的诊断,对那些以不公平的方式进行编纂的医院有利。结论我们的研究结果强调了严格检查混杂因素差异分类的重要性。在医院,时间和地理区域上,它们的有效性可能存在很大的异质性。

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